TALK KEYWORD INDEX
      This page contains an index consisting of author-provided keywords.
| ( | |
| (on-board)activities | |
| 3 | |
| 3PL SMEs | |
| A | |
| ABM | |
| Acceoptance | |
| Acceptance | |
| accessibility | |
| active transportation | |
| active travel | |
| activity | |
| Activity based models | |
| activity diary | |
| Activity engagement | |
| activity participation | |
| activity pattern | |
| Activity pattern based non-worker clusters | |
| Activity priority | |
| Activity Scheduling | |
| Activity Time Use | |
| activity time-use | |
| Activity-based approach | |
| Activity-based model | |
| Activity-based modeling | |
| Activity-based models | |
| Activity-travel Behavior | |
| Activity-Travel Pattern | |
| activity-travel survey | |
| Actvity scheduling | |
| Adaptive routing | |
| Adoption | |
| Adoption behavior | |
| adult activity-travel behavior | |
| age-period-cohort analysis | |
| Ageing | |
| agent mobility simulation | |
| agent-based | |
| Agent-based Microsimulation | |
| Agent-based simulation | |
| Aging society | |
| AirBnB | |
| Airport access mode choice | |
| AirSage | |
| Alaska | |
| Alternative Decision Rules | |
| Alternative fuel vehicles | |
| alternative-fuel vehicles | |
| alternative-specific constant | |
| Anticipation | |
| Artificial neural network | |
| Artificial Neural Networks | |
| attitude | |
| Attitudes | |
| Attitudes and perceptions | |
| attitudes to cars | |
| Attitudes towards modes | |
| Attitudes-Behavior relationship | |
| attribute importance | |
| auto dependency | |
| Automated Fare Collection Systems | |
| Automated household travel survey | |
| Automated Travel | |
| automated vehicles | |
| autonomous driving | |
| Autonomous Shuttle | |
| autonomous trucks | |
| autonomous vehicle | |
| Autonomous Vehicles | |
| B | |
| Bandung | |
| Bayesian Decision Network | |
| Bayesian estimation | |
| Bayesian inference | |
| Behavior | |
| Behavior change | |
| behavior dynamics | |
| behavioral context inference | |
| behavioral intention | |
| Behavioral Land Use Modeling | |
| Behavioral model | |
| behaviour change | |
| behavioural analysis | |
| behavioural change | |
| Behavioural Persistence | |
| Beijing | |
| best-worst | |
| BEV | |
| Bicycle | |
| bicycling | |
| Big Data | |
| Big Five | |
| Bike route choices | |
| Bike Sharing | |
| Bike Sharing Scheme | |
| Bike-Sharing | |
| bounded rationality | |
| brain | |
| Broadband | |
| built environment | |
| built envrionment | |
| C | |
| capacity problem | |
| Car availability | |
| Car following | |
| car ownership | |
| Car ownership and usage | |
| Car sharing | |
| car use | |
| car use model | |
| Car-following | |
| Car-ownership | |
| Car-sharing | |
| Carsharing | |
| Causal relationships | |
| causality | |
| CDR | |
| Cellphone data | |
| Challenge and rewards | |
| change job | |
| Charging behavior | |
| charging infrastructure | |
| Charging Stations | |
| Chauffeur | |
| child escorting | |
| Childhood Experience | |
| childhood experiences | |
| children | |
| Children’s life satisfaction | |
| Children’s travel | |
| China | |
| Chinese Spring Festival | |
| Choice behaviour | |
| Choice model | |
| Choice Modeling | |
| Choice Modelling | |
| Choice sequencing structure | |
| Choice set | |
| cities | |
| classification | |
| Climate Change Adaptation | |
| cluster analysis | |
| Cluster-based Multivariate Probit Model | |
| co-creation | |
| Cohort and period effects | |
| collective model | |
| commute duration | |
| commute mode | |
| commuting | |
| Commuting distance | |
| Comparison of generations | |
| Compensatory | |
| Complexity of the choice task | |
| Composite Likelihood (CL) | |
| Composite marginal likelihood | |
| conceptual model | |
| Conflict Resolution | |
| Congestion | |
| congestion effect | |
| Connected and autonomous vehicle environment | |
| Connectivity | |
| Consideration of alternatives | |
| Consideration of the alternatives | |
| consideration set | |
| Consumer behaviour | |
| consumer preferences | |
| Consumer-Citizen duality | |
| context effects | |
| Context-aware stated preferences | |
| context-dependence | |
| contextual bandit algorithm | |
| continuous target based model | |
| convergence | |
| cooperative route choice behaviour | |
| Copula based methods | |
| copula based random draws | |
| core values | |
| Cost-Benefit Analysis | |
| costumer | |
| count model | |
| cross-nested logit model | |
| Crossing behavior | |
| Crowd-shipping | |
| Crowding level | |
| cultural differences | |
| Customer satisfaction | |
| Customized bus | |
| cycling | |
| D | |
| D-efficient stated preference experiment design | |
| Daily activity-travel pattern | |
| Daily and long-distance travel | |
| daily mobility | |
| daily mobility behaviour | |
| daily travel | |
| data fusion | |
| Data mining | |
| Day-to-day learning and adjustment | |
| day-to-day variability | |
| Decision context | |
| Decision Making | |
| Decision rule | |
| Decision rule heterogeneity | |
| Decision rules | |
| Decision Tree | |
| Decision-making process | |
| Deep Learning | |
| Delivery | |
| Demand analysis | |
| Demand forecast | |
| demand modelling | |
| Departure choice | |
| Departure time choice | |
| Depopulation | |
| destination choice | |
| Developing Countries | |
| Diffusion | |
| Digital activities | |
| disaggregate demand | |
| Disaggregate Model | |
| disaggregation | |
| discrete choice | |
| Discrete choice modelling | |
| discrete choice models | |
| Discrete continuous | |
| discrete-continuous choice | |
| Discrete-continuous choice model | |
| discrete-continuous choice models | |
| discrete-continuous maximum likelihood | |
| Discretionary-activity tour | |
| disposable income | |
| Driver Behavior and Cognition | |
| Driver behaviour | |
| Driver Cognition | |
| Driverless cars | |
| Driving behaviour | |
| driving cessation | |
| Driving Simulator | |
| Driving simulator experiments | |
| Driving stress | |
| DTA | |
| Dual-worker households | |
| Duration modeling | |
| Duration of respondent participation | |
| Dwell Time | |
| Dynamic analysis | |
| dynamic assortment optimization | |
| dynamic bayesian network | |
| Dynamic Discrete Choice Model | |
| Dynamic effects | |
| Dynamic Mixed Logit | |
| Dynamic models | |
| dynamic ride-sharing | |
| Dynamic Ridesharing | |
| Dynamic traffic assignment | |
| Dynamical Heterogeneity | |
| dynamics | |
| E | |
| e-bicycle use | |
| e-cycling | |
| early adopters | |
| Econometric Modeling | |
| econometrics | |
| EEG | |
| Effect of consequentiality on traveller’s behaviour | |
| efficient designs | |
| Ego | |
| egocentric network approach | |
| Elderly | |
| Elderly Well-being | |
| Electric vehicle | |
| Electric Vehicles | |
| Electrical Engines | |
| Elissa | |
| EMA | |
| emotions | |
| En-route choice | |
| End-to-End dynamic routing | |
| Endogeneity | |
| Endogeneity in discrete choice model | |
| energy and water consumption | |
| equivalised income | |
| error component three stage least squares | |
| Error quantification | |
| Evolution of willingness to pay | |
| Expanded Path Size Logit | |
| Experimental Design | |
| experimental techniques | |
| Exploratory modeling and analysis | |
| Express Lanes | |
| expressway driver's decision on stopover at rest areas | |
| Expressway toll collection data | |
| eye-tracking | |
| F | |
| facilitating conditions | |
| factor analysis | |
| Fake | |
| fast-charging | |
| FCD data | |
| Ferry oriented Development | |
| field experiment | |
| Fit | |
| fleet simulation | |
| Flexible Work | |
| fMRI | |
| Forecasting | |
| Four-Step Approach | |
| Four-step Model | |
| Free Floating Car Sharing | |
| free-floating car sharing | |
| Freight Behaviour | |
| Freight Forwarders | |
| Frequency of Use | |
| Fully compensatory choices | |
| Future life choices | |
| future mobility services | |
| Fuzzy-logic Method | |
| G | |
| Garin-Lowry Land Use Model | |
| gaussian process regression | |
| Gender | |
| Generalised travel cost | |
| generalized estimation equations | |
| generalized linear mixed model | |
| generalized structural equation model | |
| Generation Y | |
| Generation Z | |
| Generational Cohorts | |
| generational difference | |
| Generative modelling | |
| GHDM | |
| GHG-emissions | |
| GIS | |
| goodness-of-fit | |
| GPS | |
| GPS data | |
| GPS surveys | |
| GPS-based travel survey | |
| Greater Toronto-Hamilton Area | |
| green lifestyle | |
| grocery shopping | |
| gross income | |
| GSM data | |
| H | |
| happiness | |
| hard measures | |
| Headway irregularity | |
| heterogeneity | |
| Heterogeneous Residential Preferences | |
| heuristic | |
| hidden Markov model | |
| Hierarchical Dynamic Linear Models | |
| Hierarchical ICLV model | |
| Hierarchical Latent Variable | |
| Highways | |
| Holiday activity-travel decision | |
| household decision-making | |
| household interaction | |
| Household interactions | |
| household travel surveys | |
| household-serving trips | |
| human behaviour | |
| Human interaction | |
| Hurdle models | |
| hybrid choice model | |
| Hybrid choice models | |
| hybrid discrete choice model | |
| Hybrid Discrete Choice models | |
| hybrid vehicles | |
| I | |
| IATBR | |
| ICT | |
| ICT adoption | |
| ICTs | |
| identifiability | |
| idle vehicle relocation | |
| Images | |
| Immersive images | |
| immigrant women | |
| immobile | |
| Immobility | |
| Importance of Reliability | |
| In-vehicle activity | |
| Incentive policies | |
| Incentives | |
| Income elasticity | |
| Indonesia | |
| inequalities | |
| Infrastructure planning | |
| innovation adoption | |
| Integrated Choice and Latent Variable Model | |
| Integrated Choice and Latent Variable Model (ICLV) | |
| Integrated choice and latent variable modeling | |
| Integrated Land Use and Transportation Modeling | |
| integrated transportation-land use modeling | |
| interaction modes and frequencies | |
| interaction terms | |
| Interactions | |
| Intercept Survey | |
| International Conference on Travel Behavior Research | |
| intervention | |
| intra household interaction | |
| Intra-household interactions | |
| Intra-household vehicle assignment | |
| Intra-respondent preference heterogeneity | |
| inverse reinforcement learning | |
| J | |
| Jakarta metropolitan area | |
| Japan | |
| Japanese young people | |
| Joint continuous discrete model | |
| Joint model | |
| Joint RP-SP choice model | |
| Joint Travel | |
| K | |
| key decision determinants | |
| key event | |
| L | |
| land use | |
| Land use patterns | |
| land use-travel connection | |
| Land-use impact | |
| Large Scale Applications | |
| Latent behaviour | |
| Latent Choice Sets | |
| Latent class | |
| Latent class analysis | |
| latent class choice model | |
| Latent Class Model | |
| Latent class models | |
| Latent Class with Distal Outcome | |
| Latent Class Zero-Inflated Ordered Probit | |
| Latent Dirichlet Allocation | |
| Latent Factors | |
| Latent segmentation | |
| Latent segmentation-based random parameter logit model (LSRPL) | |
| Latent Variable | |
| Latent Variable Choice Model | |
| Latent Variables | |
| Lean Thinking | |
| learning | |
| Leisure time | |
| leisure travel | |
| Level of Service | |
| life choices | |
| life course approach | |
| Life course mobility | |
| Life Event | |
| life events | |
| life-oriented approach | |
| Life-stage Transition | |
| lifecycle stages | |
| lifestyle | |
| Likert Scales | |
| Living environment | |
| Living lab | |
| Local interaction | |
| Location choice | |
| log-likelihood linearization | |
| Logic model | |
| Logistic Regression | |
| Logit | |
| long distance travel demand | |
| long term simulation | |
| long-distance travel | |
| Long-term analysis | |
| Long-term choices | |
| longitudinal | |
| Longitudinal travel survey | |
| loss aversion | |
| M | |
| machine learning | |
| Machine learning classifier | |
| Mandatory-activity tour | |
| market segmentation analysis | |
| market segmentation and location choice modeling | |
| matching | |
| Mathematical Programming with Equilibrium Constraints-based approach | |
| MATSim | |
| MDCEV | |
| measurement | |
| Measurement error models | |
| Member Recruitment | |
| meta-modeling | |
| Micro Public Transport Environments | |
| microscopic travel demand simulation | |
| Millenials and cohort effects | |
| Millennial behavior | |
| Millennials | |
| mixed integer linear program | |
| mixed integer linear programming | |
| Mixed Logit | |
| mixed logit models | |
| mixed methods | |
| Mixed multinomial logit model (MXL) | |
| Mixed traffic streams | |
| Mixed User Equilibrium | |
| mixed-methods approach | |
| mobile internet usage | |
| mobile phone data | |
| Mobile phone user distribution data | |
| Mobile Positioning | |
| Mobile Settings | |
| mobility | |
| mobility analysis | |
| Mobility and accessibility | |
| Mobility as a Service (MaaS) | |
| mobility attitudes | |
| Mobility behaviour | |
| Mobility biographies | |
| mobility handicapped persons | |
| Mobility Indicators | |
| Mobility options | |
| Mobility pattern | |
| Mobility tool ownership | |
| mobility tools | |
| mobility types | |
| Mobility-on-Demand | |
| mobility-on-demand preferences | |
| modal choice | |
| Modal choice model | |
| modal shift potential | |
| Mode and path choice | |
| mode change | |
| mode choice | |
| Mode choice behavior | |
| Mode choice data | |
| mode choice model | |
| mode choice modeling | |
| Mode detection | |
| mode-use propensity | |
| Model averaging | |
| Model complexity | |
| Model Identification | |
| Model Sensitivity | |
| modeling and simulation of individual mobility patterns | |
| Modelling | |
| Models | |
| Monetary constraint | |
| Mono and Multimodality | |
| moral consciousness | |
| move home | |
| Multi-Alternative and multi-Attribute Choice Sets | |
| multi-day surveys | |
| Multi-domain decision Interactions | |
| Multi-linear utility | |
| Multi-Modal | |
| Multi-modal routing | |
| Multi-week activity diary data | |
| multidimensional behavior | |
| Multilevel structural equation modeling | |
| multimodal | |
| multimodal choice model | |
| Multimodal path choice | |
| multimodal route choice | |
| Multimodal transit network | |
| Multimodality | |
| multinomial discrete choice models | |
| Multinomial Logit | |
| Multiple constraints | |
| Multiple Discrete and Continuous | |
| Multiple Discrete continuous choices | |
| Multiple discrete continuous extreme value model (MDCEV) | |
| Multiple discreteness | |
| multiple heuristics | |
| Multitasking | |
| multitasking attitudes and behaviors | |
| Multivariate Analysis | |
| Multivariate count data | |
| multivariate count modeling | |
| multivariate probit | |
| N | |
| name generators | |
| Narcissism | |
| National Travel Survey | |
| nationwide trade flow patterns | |
| Naturalistic Experiment | |
| navigation preferences | |
| neighborhood effect | |
| Neighborhood planning | |
| Netherlands Mobility Panel | |
| Network externality | |
| Network modeling | |
| Neural Network | |
| New Generation | |
| New York City | |
| newly developed cities | |
| No-notice evacuation | |
| non-compensatory | |
| non-motorized transportation | |
| non-separable problem | |
| Norms | |
| Nova Scotia Travel Activity (NovaTRAC) Survey | |
| NTS | |
| Nudging applications | |
| O | |
| off-highway vehicles | |
| older people | |
| on-board activities | |
| On-Demand Mobility | |
| one year | |
| open data | |
| Open-ended questions | |
| operational cycling behavior | |
| Optimization | |
| ordered model | |
| Ordinal Logistic Regression Analysis | |
| Organization-based | |
| Orlando | |
| ownership | |
| P | |
| panel | |
| Panel Count Models | |
| panel data | |
| Parking | |
| parking pricing | |
| Parking search time | |
| partial choice sets | |
| Partitioning of effects | |
| Passenger Behaviour | |
| Passenger Information Systems | |
| Passive data | |
| Passive data streams | |
| past and current travel behavior on future travel behavior | |
| past experience on current travel behavior | |
| Pattern Recognition | |
| peak car | |
| Pedestrian | |
| Pedestrian behaviour | |
| Pedestrian level of service | |
| Pedestrians | |
| Peer-to-peer delivery | |
| Perceived accessibility | |
| perceived ease of IC | |
| perceived usefulness of ICT | |
| Perception | |
| Perceptions | |
| personalized | |
| persuasive strategies | |
| PEV market penetration | |
| PHEV | |
| Physiological responses | |
| Port Container Terminals | |
| Portfolio choice | |
| Positive Utility of Travel | |
| Post-Evaluation | |
| preference heterogeneity | |
| preference pattern | |
| Pricing | |
| principal component analysis | |
| privacy | |
| Private car | |
| Probe person data | |
| Probit model | |
| Process Orientation | |
| Process rules | |
| Productivity | |
| prospect theory | |
| Psychometric Indicators | |
| Psychometric Scales | |
| Psychophysiological Analysis | |
| Public acceptability | |
| Public acceptance | |
| Public Bicycles | |
| Public Bike Scheme | |
| Public spaces | |
| public transport | |
| Public transport satisfaction | |
| Public transport smart-card data | |
| Public Transportation | |
| Q | |
| Q-methodology | |
| Qingdao International Horticultural Exposition | |
| qualitative research | |
| Quality of Life | |
| Quantification | |
| Quantum Probability | |
| R | |
| Rail | |
| Rail factor | |
| Random forest | |
| Random forest model | |
| random regret minimisation | |
| Random regret minimization | |
| random utility maximisation | |
| Randomised Controlled Trial | |
| Rank ordered logit | |
| Rank ordered model | |
| Ranked data | |
| Real Time Information | |
| Real-time Travel Information | |
| reasoning | |
| Recently moved residents | |
| Recommendation systems | |
| recommender system | |
| recursive logit | |
| reducing choice task complexity | |
| reference dependence | |
| reference point | |
| Regional transit | |
| Renting | |
| repeated crosssectional data | |
| residence/activity area | |
| Residential Location | |
| Residential Location Choice | |
| Residential relocation | |
| residential self-selection | |
| Resource allocation model | |
| Restricted Boltzmann Machine | |
| Retrospective longitudinal data | |
| revealed-preference data | |
| rewards | |
| Ride hailing | |
| Ridehailing | |
| Ridesharing | |
| risk | |
| risk analysis | |
| Risk Attitude | |
| risk perception | |
| road pricing | |
| Role of attitudes | |
| route choice | |
| Route Choice Behavior | |
| route choice behaviour | |
| Route choice modeling | |
| Routing policy | |
| RP Value of Time | |
| Rule-based activity scheduling | |
| S | |
| safety | |
| Safety perceptions | |
| Sample Size | |
| satisfaction | |
| Satisfaction with Travel Scale | |
| School travel | |
| scope of business | |
| Self-driving Cars | |
| Self-reported indicators | |
| self-selection | |
| SEM | |
| Semantic | |
| semi-compensatory | |
| semiparemetric | |
| Sense of Place | |
| Sequential Data Clustering | |
| service | |
| shared autonomous vehicle | |
| Shared autonomous vehicles | |
| Shared Mobility | |
| Shared System Demand | |
| Shared-ride taxi | |
| Sharing Economy | |
| Shuttle | |
| SIDS | |
| Simplex | |
| simulated maximum likelihood | |
| simulation | |
| Simultaneous probit model | |
| skill | |
| Smart mobility | |
| Smartcard data | |
| Smartphone | |
| smartphone application | |
| Smartphone apps | |
| smartphone travel survey | |
| Smartphone travel surveys | |
| smartphone-based GPS tracking | |
| smartphone-based surveys | |
| Social acceptability | |
| Social Influence | |
| Social interaction effect | |
| social interaction model | |
| social media | |
| Social network | |
| Social network formation | |
| social networks | |
| social routing advice | |
| Socialization | |
| Soft intervention | |
| soft measures | |
| Soft refusal | |
| Solo travel | |
| SP-off-RP survey | |
| Spatial choice | |
| spatial input-output model | |
| spatial model | |
| Spatial-temporal regularity | |
| State dependence | |
| State-dependence | |
| Stated Adaptation | |
| stated choice | |
| stated choice experiments | |
| Stated choice preference | |
| stated preference | |
| Stated preference data | |
| Stated preference study | |
| Stated preference survey | |
| stated-preference survey | |
| Statistical analysis | |
| Stats | |
| stay-point detection | |
| Stochastic time-dependent network | |
| Stockholm | |
| structural equation modeling | |
| Structural Equation Modelling | |
| structural equation models | |
| Subjective well-being | |
| subjective wellbeing | |
| substitution | |
| Super-network platform | |
| supply | |
| Supply modeling | |
| Survey methodology | |
| sustainable transport | |
| sustainable transportation | |
| T | |
| Task-based approach | |
| taste heterogeneity / variation | |
| TDM | |
| Technology adoption | |
| teleportation door | |
| Telework | |
| temporal utility profiles | |
| Test | |
| Theory Development | |
| Theory of Planned Behavior | |
| Theory of Planned Behaviour (TPB) | |
| thresholds of change | |
| Thresholds on attributes | |
| ticket purchase | |
| Time - use decisions | |
| time allocation | |
| Time availability | |
| Time of travel choice | |
| Time use | |
| Time use and activity-travel patterns | |
| time utility model | |
| time-expanded network | |
| time-use model | |
| Toll road | |
| Topic Modelling | |
| Tour formation | |
| Tour-based accompanying travel choice | |
| Tour-level participation and time allocation | |
| Tourism | |
| Tourism travel behavior | |
| tours | |
| traffic assignment | |
| Traffic Behaviour | |
| traffic incident management | |
| train travel | |
| Trajectories | |
| trajectory pattern | |
| Transit | |
| transit data | |
| Transit itinerary inference | |
| Transit network | |
| transit ridership | |
| Transit travel behavior | |
| Transit use | |
| Transition Matrix | |
| Transmilenio | |
| Transport Appraisal | |
| transport emission model | |
| Transport mode choice | |
| Transport policy | |
| Transportation | |
| Transportation network analysis | |
| transportation survey | |
| transportation system | |
| Transtheoretical Model | |
| trauma data | |
| Travel attitudes | |
| travel behavior | |
| Travel behavior analysis | |
| Travel behavior modeling | |
| travel behavior of commuters | |
| Travel behaviour | |
| travel behaviour change | |
| Travel Behaviour Theory | |
| travel data collection | |
| travel decision | |
| travel demand | |
| Travel Demand Forecast | |
| Travel Demand Management | |
| Travel Demand Model | |
| travel diary | |
| travel information | |
| Travel mode choice | |
| Travel mode detection | |
| Travel mode preferences | |
| travel satisfaction | |
| Travel Survey | |
| Travel survey method | |
| travel survey methods | |
| travel surveys | |
| Travel time | |
| Travel time estimates | |
| travel time perception | |
| Travel time use | |
| Traveler assignment | |
| Traveller Attitudes | |
| Trip chain complexity | |
| Trip chaining behaviour | |
| trip characteristics | |
| Trip information | |
| Trip purpose detection | |
| Trip purpose inference | |
| Truck routes | |
| Truthful Mechanism | |
| Two-Step Rewards | |
| U | |
| Uber and Lyft | |
| Ubiquitous real-time passenger information | |
| UK | |
| uncertainty | |
| underserved populations | |
| Unobserved preferences | |
| Urban data fusion | |
| Urban Freight | |
| urban mobility | |
| urban structure | |
| Usage Patterns | |
| User behavior | |
| User Compliance | |
| Users | |
| utility estimation | |
| Utility-maximization | |
| Utilization Rate | |
| V | |
| Validity and reliability | |
| value | |
| Value learning | |
| value of activities | |
| Value of leisure | |
| Value of Statistical Life | |
| Value of Time | |
| value of time assigned to travel | |
| Value of Travel Time (VTT) | |
| value of travel time savings | |
| Values | |
| variability | |
| variable message systems | |
| Variable Selection | |
| Vehicle allocation | |
| vehicle demand | |
| Vehicle Miles Traveled | |
| Vehicle ownership | |
| Vehicle replacement | |
| Vehicle Transaction | |
| VGI | |
| Vickrey-Groves-Clarke | |
| Virtual immersive reality laboratory experiment | |
| virtual reality | |
| visitor spatio-temporal behavior | |
| VMT | |
| W | |
| waiting attitudes | |
| Waiting time | |
| walkability | |
| Walking | |
| Water Transit | |
| Wayfinding behaviour | |
| weather conditions | |
| Weekly time horizon | |
| well-being | |
| Wi-Fi based monitoring | |
| WiFi data | |
| Wilcox Transformation | |
| Willingness to Pay | |
| Willingness to share | |
| Y | |
| Yogyakarta | |
| Young adult | |
| Young adults | |
| Z | |
| Zero Occupancy Vehicle | |